Benefits

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• Model Uncertainty: Model uncertainty refers to the lack of knowledge or confidence in the accuracy of a statistical or machine learning model's predictions. It arises due to various factors such as limited data, noise in the data, model complexity, and assump ... Read More >>
• Functional Programming: Functional programming is a programming paradigm that emphasizes the use of functions to solve problems. In functional programming, functions are treated as first-class citizens, meaning they can be passed as arguments to other functions, r ... Read More >>
• Network Pruning: Network pruning is a technique used in deep learning to reduce the size of a neural network by removing unnecessary connections and parameters without significantly impacting its accuracy. The goal of network pruning is to create a smaller ... Read More >>